llama_index.llms.openai_like.[OI]Like
Native [OI] supportLlamaIndex with an [OI]-compatible endpoint
LlamaIndex's [OI]Like class is built for [OI]-compatible servers with a custom base URL. Point it at the gateway and plug it into your existing indexes.
Base URL
https://uncensoredai.dev/v1
- 01
Configure the model
[OI]Like takes api_base and model. Always pass context_window explicitly — the class has no built-in model table and will otherwise truncate long prompts.
pythonfrom llama_index.llms.openai_like import [OI]Like from llama_index.core import Settings llm = [OI]Like( model="deepseek-v4.1-flash", api_base="https://uncensoredai.dev/v1", api_key="sk-ua-XXXX-XXXX-XXXX-XXXX", is_chat_model=True, context_window=1000000, max_tokens=65536, ) Settings.llm = llm - 02
Use it in a query engine
Assign it to Settings.llm or pass it per index — RAG behaviour is unchanged.
FAQ
Why [OI]Like instead of [OI] in LlamaIndex?+
[OI]Like exists specifically for [OI]-compatible servers with a custom base URL and avoids [OI]-only assumptions.
Can I use embeddings from the gateway?+
Not currently — the catalog is chat completions only. Keep embeddings on your existing provider.
